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Paper Citation Record · LEDGER

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.13544.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.13544 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:26:26.009741Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved17
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b081de3e-44b3-495c-9776-febd3bab196d · outbound

This paper cites Attention Is All You Need.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Attention Is All You Need

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f29806a-15b2-486d-aae1-74eea66f995c · outbound

This paper cites an unresolved cited work.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b877d28e-6012-408b-9fda-694cf60fbe24 · outbound

This paper cites A Survey of Large Language Models.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows A Survey of Large Language Models

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f430696a-9ba5-46e7-989a-e4d86ae75493 · outbound

This paper cites Natural Language Processing Advancements: Breaking Barriers in Human-Computer Interaction,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Natural Language Processing Advancements: Breaking Barriers in Human-Computer Interaction,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c9c57e28-effb-4bd5-a844-54a34cf2dbb2 · outbound

This paper cites Cross-lingual Transfer Learning for Multilingual Task Oriented Dialogue.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Cross-lingual Transfer Learning for Multilingual Task Oriented Dialogue

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T16:26:23.938669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b65a4e79-64ee-4ecd-a36b-acc33daf78ab · outbound

This paper cites Dialogue Act Classi- fication in Domain-Independent Conversations Using a Deep Recurrent Neural Network,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Dialogue Act Classi- fication in Domain-Independent Conversations Using a Deep Recurrent Neural Network,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c5f75560-d218-4d4b-a7a5-3b44fbfebfb4 · outbound

This paper cites Long Short-Term Memory,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Long Short-Term Memory,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T16:26:28.496258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 67e0acb1-2013-46fb-b55b-f7f8ae9841db · outbound

This paper cites Bidirectional LSTM-CRF Models for Sequence Tagging.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 8

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee449d51-daf5-4102-bd40-532e48f5e5b3 · outbound

This paper cites In Proceedings of the 23rd International Conference on Hybrid Intelligent Systems (HIS 2023) , 2023.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows In Proceedings of the 23rd International Conference on Hybrid Intelligent Systems (HIS 2023) , 2023

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a3af78fd-cbdb-4fd7-9311-0562b29064d1 · outbound

This paper cites spaCy 2: Natural Language Under- standing with Bloom Embeddings, Convolutional Neural Networks, and Incremental Parsing,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows spaCy 2: Natural Language Under- standing with Bloom Embeddings, Convolutional Neural Networks, and Incremental Parsing,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0cdfc4f9-5933-400c-987d-e6849de20e02 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af812956-024e-4cd3-ab52-5bd5c7985be9 · outbound

This paper cites an unresolved cited work.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3b7ede4f-00c5-43f9-9102-a29720c2a83b · outbound

This paper cites IntentGPT: Few-shot Intent Discovery with Large Language Models.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows IntentGPT: Few-shot Intent Discovery with Large Language Models

Reference 13

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no resolver link, observed 2026-08-06T16:26:24.746843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0ae7a629-183c-4c33-a24e-826e6e18a05e · outbound

This paper cites an unresolved cited work.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Unresolved cited work

Reference 14

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 91885723-a7a2-4472-9e7c-1dd81a4d4581 · outbound

This paper cites Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1db44bc9-2411-4c1b-af51-2c0a8eea46bb · outbound

This paper cites ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ed8307a7-1aa2-4894-95d2-b2e5792a3ae3 · outbound

This paper cites Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7e6246b8-48b1-4df0-b1a6-acfdbb66181b · outbound

This paper cites A rule-based short query intent identifi- cation system,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows A rule-based short query intent identifi- cation system,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8456ceaf-c74e-4bcc-a3dd-e0a86e025cbd · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 548e2813-384a-45d9-9fa0-fc65081738b4 · outbound

This paper cites KeyBERT: Minimal keyword extraction with BERT,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows KeyBERT: Minimal keyword extraction with BERT,

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83449ef3-e3a0-4a22-87a6-a348e442f896 · outbound

This paper cites Intent Discovery Through Unsu- pervised Semantic Text Clustering,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Intent Discovery Through Unsu- pervised Semantic Text Clustering,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4c9fd5d1-2478-46ad-aef7-a102ffa607a7 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fde6d702-14d4-486c-8b71-f756cb26d8a8 · outbound

This paper cites an unresolved cited work.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:26:26.979097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 23402a23-0179-4ccc-b7e4-fa087d7aad6c · outbound

This paper cites On the number of cycles in a graph.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows On the number of cycles in a graph

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3e45b43e-7f1b-46df-afd3-58a710b2fad4 · outbound

This paper cites Gromov hyperbolic graphs,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Gromov hyperbolic graphs,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:26:26.660372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3d6a03a3-ea1e-4fba-908c-365169a65ef4 · outbound

This paper cites On the Hyperbolicity of Small-World and Treelike Random Graphs,.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows On the Hyperbolicity of Small-World and Treelike Random Graphs,

Reference 26

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c2bce20-d2c1-4878-9af1-de06e0a2e08a · outbound

This paper cites MultiWOZ 2.2: A dialogue dataset with additional annotation corrections and state tracking baselines.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows MultiWOZ 2.2: A dialogue dataset with additional annotation corrections and state tracking baselines

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5fffe19c-2807-4e93-bff5-4d531380e7bc · outbound

This paper cites Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems

Reference 28

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unresolved
no resolver link, observed 2026-08-06T16:26:26.009741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:26:26.009741Z digest=sha256:597459c2d199923979152b1f774ca9f9b72338e6bd4c3dcc81a387ee786998b9

Observation 8a68379d-7929-406e-85b9-f4228fdde4d8 · outbound

This paper cites an unresolved cited work.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:26:27.441199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.